Developer

Cognizant’s interview process typically starts with a timed online aptitude test, followed by a technical interview focusing on data engineering concepts, SQL queries, and PySpark coding. The final HR round assesses cultural fit, communication skills, and career aspirations. Preparing with real‑world data pipeline scenarios and practicing problem‑solving on platforms like LeetCode can boost confidence.

Cognizant promotes a learning‑first culture where employees are encouraged to upskill through certifications and internal training platforms. The company offers flexible working arrangements, a supportive environment for work‑life balance, and clear career progression pathways.

B.Tech/B.E. or M.Tech in Computer Science, Information Technology, Electronics, or related engineering streams; Minimum 60% aggregate (or CGPA 6.5/10) in the qualifying degree; Fresh graduates of 2025 or 2026 batches are preferred; No active backlogs at the time of joining; Strong academic record in data structures, algorithms, and databases.

Round 1: Online Aptitude Test (Logical Reasoning, Quantitative, Verbal) → Round 2: Technical Interview (Data Engineering concepts, SQL, PySpark, problem‑solving) → Round 3: HR Interview (fitment, communication, career goals)

Cognizant is a global leader in digital, technology, consulting and operations services. With a presence in over 40 countries, the company helps enterprises across industries transform their businesses through AI‑driven solutions, cloud migration, and data engineering. Cognizant’s culture blends a strong focus on continuous learning with a commitment to social responsibility, making it a preferred employer for fresh talent seeking exposure to cutting‑edge projects and a diverse, inclusive workplace. The firm’s Indian operations, especially in technology hubs like Kochi, are known for delivering high‑impact solutions for Fortune‑500 clients in sectors ranging from banking to insurance. The Developer role is positioned within Cognizant’s Property & Casualty Insurance practice. As a fresh graduate, you will work alongside seasoned data engineers and domain experts to build, optimize, and maintain data pipelines on the Databricks platform. Your primary focus will be on leveraging Databricks SQL, Delta Lake, and Workflows to create scalable data solutions, while using PySpark for complex transformations and analytics. The hybrid work model allows you to collaborate in‑office for team sessions and work remotely for focused development, ensuring a balanced day‑to‑day experience. Key Responsibilities: 1. Design, develop, and maintain end‑to‑end data pipelines using Databricks SQL and Delta Lake. 2. Build and orchestrate Databricks Workflows to automate data ingestion, processing, and validation. 3. Write efficient PySpark code for data cleansing, enrichment, and analytical workloads. 4. Analyze insurance‑specific datasets to extract actionable insights for underwriting, claims, and risk assessment. 5. Implement data quality checks, monitoring, and alerting mechanisms to ensure integrity. 6. Participate in code reviews, provide constructive feedback, and adhere to best coding practices. 7. Troubleshoot performance bottlenecks and resolve technical issues in the Databricks environment. 8. Document technical designs, data dictionaries, and operational runbooks. 9. Collaborate with cross‑functional teams—business analysts, product owners, and QA—to translate requirements into scalable solutions. 10. Stay current with emerging data engineering technologies and propose improvements to existing architectures. Tech Stack: Databricks SQL, Delta Lake, Databricks Workflows, PySpark, Python, Git, CI/CD pipelines, Cloud platforms (Azure/AWS), SQL, Linux. Growth Path: Starting as a Developer, you can progress to Data Engineer, Senior Data Engineer, Lead Engineer, and eventually Architecture roles or domain‑specific leadership positions. Cognizant’s internal learning ecosystem, sponsorship for certifications, and mentorship programs accelerate career growth. Why Join Cognizant? You will gain hands‑on experience with industry‑leading data platforms while solving real‑world insurance problems. The company’s emphasis on continuous upskilling, global exposure, and a collaborative culture ensures that fresh talent can quickly become high‑impact contributors. Additionally, the hybrid model offers flexibility, and the comprehensive benefits package supports both professional and personal well‑being.